Introducing Job Posting Datasets: Uncover labor market insights!

Elevate your recruitment strategies, forecast future labor industry trends, and unearth investment opportunities with Job Posting Datasets.

Job Posting Datasets Source:

1. Indeed: Access datasets from Indeed, a leading employment website known for its comprehensive job listings.

2. Glassdoor: Receive ready-to-use employee reviews, salary ranges, and job openings from Glassdoor.

3. StackShare: Access StackShare datasets to make data-driven technology decisions.

Job Posting Datasets provide meticulously acquired and parsed data, freeing you to focus on analysis. You'll receive clean, structured, ready-to-use job posting data, including job titles, company names, seniority levels, industries, locations, salaries, and employment types.

Choose your preferred dataset delivery options for convenience:

Receive datasets in various formats, including CSV, JSON, and more. Opt for storage solutions such as AWS S3, Google Cloud Storage, and more. Customize data delivery frequencies, whether one-time or per your agreed schedule.

Why Choose Oxylabs Job Posting Datasets:

1. Fresh and accurate data: Access clean and structured job posting datasets collected by our seasoned web scraping professionals, enabling you to dive into analysis.

2. Time and resource savings: Focus on data analysis and your core business objectives while we efficiently handle the data extraction process cost-effectively.

3. Customized solutions: Tailor our approach to your business needs, ensuring your goals are met.

4. Legal compliance: Partner with a trusted leader in ethical data collection. Oxylabs is a founding member of the Ethical Web Data Collection Initiative, aligning with GDPR and CCPA best practices.

Pricing Options:

Standard Datasets: choose from various ready-to-use datasets with standardized data schemas, priced from $1,000/month.

Custom Datasets: Tailor datasets from any public web domain to your unique business needs. Contact our sales team for custom pricing.

Experience a seamless journey with Oxylabs:

• Understanding your data needs: We work closely to understand your business nature and daily operations, defining your unique data requirements.
• Developing a customized solution: Our experts create a custom framework to extract public data using our in-house web scraping infrastructure.
• Delivering data sample: We provide a sample for your feedback on data quality and the entire delivery process.
• Continuous data delivery: We continuously collect public data and deliver custom datasets per the agreed frequency.

Effortlessly access fresh job posting data with Oxylabs Job Posting Datasets.

Success.ai’s Consumer Behavior Data for Consumer Goods & Electronics Industry Leaders in Asia, the US, and Europe offers a robust dataset designed to empower businesses with actionable insights into global consumer trends and professional profiles. Covering executives, product managers, marketers, and other professionals in the consumer goods and electronics sectors, this dataset includes verified contact information, professional histories, and geographic business data.

With access to over 700 million verified global profiles and firmographic data from leading companies, Success.ai ensures your outreach, market analysis, and strategic planning efforts are powered by accurate, continuously updated, and GDPR-compliant data. Backed by our Best Price Guarantee, this solution is ideal for businesses aiming to navigate and lead in these fast-paced industries.

Why Choose Success.ai’s Consumer Behavior Data?

1. Verified Contact Data for Precision Engagement

   • Access verified email addresses, phone numbers, and LinkedIn profiles of professionals in the consumer goods and electronics industries.
   • AI-driven validation ensures 99% accuracy, optimizing communication efficiency and minimizing data gaps.

2. Comprehensive Global Coverage

   • Includes profiles from key markets in Asia, the US, and Europe, covering regions such as China, India, Germany, and the United States.
   • Gain insights into region-specific consumer trends, product preferences, and purchasing behaviors.

3. Continuously Updated Datasets

   • Real-time updates capture career progressions, company expansions, market shifts, and consumer trend data.
   • Stay aligned with evolving market dynamics and seize emerging opportunities effectively.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible use and legal compliance for all data-driven campaigns.

Data Highlights:

• 700M+ Verified Global Profiles: Connect with industry leaders, marketers, and decision-makers in consumer goods and electronics industries worldwide.
• Consumer Trend Insights: Gain detailed insights into product preferences, purchasing patterns, and demographic influences.
• Business Locations: Access geographic data to identify regional markets, operational hubs, and emerging consumer bases.
• Professional Histories: Understand career trajectories, skills, and expertise of professionals driving innovation and strategy.

Key Features of the Dataset:

1. Decision-Maker Profiles in Consumer Goods and Electronics

   • Identify and engage with professionals responsible for product development, marketing strategy, and supply chain optimization.
   • Target individuals making decisions on consumer engagement, distribution, and market entry strategies.

2. Advanced Filters for Precision Campaigns

   • Filter professionals by industry focus (consumer electronics, FMCG, luxury goods), geographic location, or job function.
   • Tailor campaigns to align with specific industry trends, market demands, and regional preferences.

3. Consumer Trend Data and Insights

   • Access data on regional product preferences, spending behaviors, and purchasing influences across key global markets.
   • Leverage these insights to shape product development, marketing campaigns, and customer engagement strategies.

4. AI-Driven Enrichment

   • Profiles enriched with actionable data allow for personalized messaging, highlight unique value propositions, and improve engagement outcomes.

Strategic Use Cases:

1. Marketing and Demand Generation

   • Design campaigns tailored to consumer preferences, regional trends, and target demographics in the consumer goods and electronics industries.
   • Leverage verified contact data for multi-channel outreach, including email, social media, and direct marketing.

2. Market Research and Competitive Analysis

   • Analyze global consumer trends, spending patterns, and product preferences to refine your product portfolio and market positioning.
   • Benchmark against competitors to identify gaps, emerging needs, and growth opportunities in target regions.

3. Sales and Partnership Development

   • Build relationships with key decision-makers at companies specializing in consumer goods or electronics manufacturing and distribution.
   • Present innovative solutions, supply chain partnerships, or co-marketing opportunities to grow your market share.

4. Product Development and Innovation

   • Utilize consumer trend insights to inform product design, pricing strategies, and feature prioritization.
   • Develop offerings that align with regional preferences and purchasing behaviors to maximize market impact.

Why Choose Success.ai?

1. Best Price Guarantee
   • Access premium-quality consumer behavior data at competitive prices, ensuring maximum ROI for your outreach, research, and ma...

Global AI Training Dataset Market size & share value expected to touch USD 12,993.78 million by 2032, to grow at a CAGR of 21.5% during the forecast period.

The global graph database market growth will be propelled through 2034 at a massive CAGR of 19.4%. With the growing data usage and the rising data storage requirements, the global graph database market size will likely inflate from US$ 3.17 billion to US$ 18.68 billion in the next decade. Technological advancements also fuel the growth prospects of the industry.

Attributes	Key Insights
Estimated Industry Size in 2024	US$ 3.17 billion
Projected Industry Value in 2034	US$ 18.68 billion
Value-based CAGR from 2024 to 2034	19.4%

Growing Technology to Enlarge the Global Graph Database Market Size

Attributes	Values
Historical CAGR	16.5%
Valuation in 2019	US$ 1.46 billion
Valuation in 2023	US$ 2.69 billion

Country-wise Analysis

Countries	Forecasted CAGR
Germany	8.9%
Japan	9.2%
The United States of America	13.5%
China	19.9%
Australia	22.9%

Category-wise Insights

Category	Solution- Graph Database Platform
Industry Share in 2024	63.3%
Segment Drivers	Seamless integration with traditional systems increases their usability, enhancing the demand for these platforms. Excellent scalability of these platforms elevates the usability standards. The wider adaptability drives the segment’s popularity, fueling the global graph database market size.

Category	Application- Fraud & Risk Analytics
Industry Share in 2024	24.3%
Segment Drivers	Due to the ability of graph databases to deliver accurate risk forecasting, they save a lot of time and money. With the rising financial transactions, the demand for fraud detection and potential risk identification is rising. Therefore, the increasing popularity of the segment drives the global graph database market size.

The AutoCreditInsight™ dataset is a powerful tool for exploring the complexities of vehicle financing activities, offering users insights into market trends and consumer behaviors, as well as the automotive credit landscape.

U.S. AI training dataset market size will be valued at USD 2,137.26 Million in 2032 and is projected to grow at a (CAGR) of 17.7%.

According to Cognitive Market Research, the global Artificial Intelligence in Retail market size is USD 4951.2 million in 2023and will expand at a compound annual growth rate (CAGR) of 39.50% from 2023 to 2030.

Enhanced customer personalization to provide viable market output
Demand for online remains higher in Artificial Intelligence in the Retail market.
The machine learning and deep learning category held the highest Artificial Intelligence in Retail market revenue share in 2023.
North American Artificial Intelligence In Retail will continue to lead, whereas the Asia-Pacific Artificial Intelligence In Retail market will experience the most substantial growth until 2030.

Enhanced Customer Personalization to Provide Viable Market Output

A primary driver of Artificial Intelligence in the Retail market is the pursuit of enhanced customer personalization. A.I. algorithms analyze vast datasets of customer behaviors, preferences, and purchase history to deliver highly personalized shopping experiences. Retailers leverage this insight to offer tailored product recommendations, targeted marketing campaigns, and personalized promotions. The drive for superior customer personalization not only enhances customer satisfaction but also increases engagement and boosts sales. This focus on individualized interactions through A.I. applications is a key driver shaping the dynamic landscape of A.I. in the retail market.

January 2023 - Microsoft and digital start-up AiFi worked together to offer Smart Store Analytics. It is a cloud-based tracking solution that helps merchants with operational and shopper insights for intelligent, cashierless stores.

Source-techcrunch.com/2023/01/10/aifi-microsoft-smart-store-analytics/

Improved Operational Efficiency to Propel Market Growth

Another pivotal driver is the quest for improved operational efficiency within the retail sector. A.I. technologies streamline various aspects of retail operations, from inventory management and demand forecasting to supply chain optimization and cashier-less checkout systems. By automating routine tasks and leveraging predictive analytics, retailers can enhance efficiency, reduce costs, and minimize errors. The pursuit of improved operational efficiency is a key motivator for retailers to invest in AI solutions, enabling them to stay competitive, adapt to dynamic market conditions, and meet the evolving demands of modern consumers in the highly competitive artificial intelligence (AI) retail market.

January 2023 - The EY Retail Intelligence solution, which is based on Microsoft Cloud, was introduced by the Fintech business EY to give customers a safe and efficient shopping experience. In order to deliver insightful information, this solution makes use of Microsoft Cloud for Retail and its technologies, which include image recognition, analytics, and artificial intelligence (A.I.).

Source-www.ey.com/en_gl/news/2023/01/ey-announces-launch-of-retail-solution-that-builds-on-the-microsoft-cloud-to-help-achieve-seamless-consumer-shopping-experiences

Market Dynamics of the Artificial Intelligence in the Retail market

Data Security Concerns to Restrict Market Growth

A prominent restraint in Artificial Intelligence in the Retail market is the pervasive concern over data security. As retailers increasingly rely on A.I. to process vast amounts of customer data for personalized experiences, there is a growing apprehension regarding the protection of sensitive information. The potential for data breaches and cyberattacks poses a significant challenge, as retailers must navigate the delicate balance between utilizing customer data for AI-driven initiatives and safeguarding it against potential security threats. Addressing these concerns is crucial to building and maintaining consumer trust in A.I. applications within the retail sector.

Impact of COVID–19 on the Artificial Intelligence in the Retail market

The COVID-19 pandemic significantly influenced artificial intelligence in the retail market, accelerating the adoption of A.I. technologies across the industry. With lockdowns, social distancing measures, and a surge in online shopping, retailers turned to A.I. to navigate the challenges posed by the pandemic. AI-powered solutions played a crucial role in optimizing supply chain management, predicting shifts in consumer behavior, and enhancing e-commerce experiences. Retailers lever...

Data Analysis Software Market size was valued at USD 79.15 Billion in 2024 and is projected to reach USD 176.57 Billion by 2031, growing at a CAGR of 10.55% during the forecast period 2024-2031.

Global Data Analysis Software Market Drivers

The market drivers for the Data Analysis Software Market can be influenced by various factors. These may include:

Technological Developments: The need for more advanced data analysis software is being driven by the quick development of data analytics technologies, such as machine learning, artificial intelligence, and big data analytics.
Growing Data Volume: To extract useful insights from massive datasets, powerful data analysis software is required due to the exponential expansion of data generated from multiple sources, including social media, IoT devices, and sensors.
Business Intelligence Requirements: To obtain a competitive edge, organisations in all sectors are depending more and more on data-driven decision-making processes. This encourages the use of data analysis software to find strategic insights by analysing and visualising large, complicated datasets.
Regulatory Compliance: In order to maintain compliance and safeguard sensitive data, firms must invest in data analysis software with strong security capabilities. Examples of these rules and compliance requirements are the CCPA and GDPR.
Growing Need for Real-time Analytics: Companies are under increasing pressure to make decisions quickly, which has led to a growing need for real-time analytics capabilities provided by sophisticated data analysis tools. These skills allow organisations to react quickly to market changes and gain insights.
Cloud Adoption: As a result of the transition to cloud computing infrastructure, businesses of all sizes are adopting cloud-based data analysis software since it gives them access to scalable and affordable data analysis solutions.
The emergence of predictive analytics is being driven by the need for data analysis tools with sophisticated predictive modelling and forecasting skills. Predictive analytics is being used to forecast future trends, customer behaviour, and market dynamics.
Sector-specific Solutions: Businesses looking for specialised analytics solutions to handle industry-specific opportunities and challenges are adopting more vertical-specific data analysis software, which is designed to match the particular needs of sectors like healthcare, finance, retail, and manufacturing.

The global big data market is forecasted to grow to 103 billion U.S. dollars by 2027, more than double its expected market size in 2018. With a share of 45 percent, the software segment would become the large big data market segment by 2027.

What is Big data?

Big data is a term that refers to the kind of data sets that are too large or too complex for traditional data processing applications. It is defined as having one or some of the following characteristics: high volume, high velocity or high variety. Fast-growing mobile data traffic, cloud computing traffic, as well as the rapid development of technologies such as artificial intelligence (AI) and the Internet of Things (IoT) all contribute to the increasing volume and complexity of data sets.

Big data analytics

Advanced analytics tools, such as predictive analytics and data mining, help to extract value from the data and generate new business insights. The global big data and business analytics market was valued at 169 billion U.S. dollars in 2018 and is expected to grow to 274 billion U.S. dollars in 2022. As of November 2018, 45 percent of professionals in the market research industry reportedly used big data analytics as a research method.

Insight As A Service Market Size And Forecast

Insight As A Service Market size was valued at USD 4.10 Billion in 2023 and is projected to reach USD 21.60 Billion By 2030, growing at a CAGR of 31% during the forecast period 2024 to 2030.

Global Insight As A Service Market Drivers

The market drivers for the Insight As A Service Market can be influenced by various factors. These may include:

Data Explosion: The amount of data generated is growing exponentially as a result of the widespread use of digital technologies. To obtain a competitive advantage, organizations are looking for methods to glean insights that are significant from this data.
Cost-effectiveness: By utilizing IaaS, businesses may obtain sophisticated analytics and insights without making significant infrastructure investments or recruiting expert staff. Businesses seeking to streamline their processes may find this economical strategy appealing.
Scalability: IaaS provides scalable solutions that are able to change to meet the ever-changing needs of enterprises. The flexibility to scale resources up or down as needed is offered by IaaS platforms, which can handle small datasets or large data analytics.
Real-time Solutions: Real-time insights are essential for making well-informed decisions in the fast-paced corporate world of today. With the help of IaaS solutions, businesses may get real-time information and react quickly to trends and changes in the market.
Predictive Analytics: IaaS-powered predictive analytics assists companies in predicting future market dynamics, consumer behavior, and trends. Organizations can proactively reduce risks and anticipate opportunities by utilizing predictive insights.
Customized Consumer Experiences: IaaS makes it easier for organizations to analyze enormous volumes of consumer data, which leads to the creation of customized experiences. Organizations can cultivate client loyalty and happiness by customizing their products and services to match individual demands by comprehending customer preferences and behavior.
AI and ML: The popularity of Infrastructure as a Service (IaaS) is being propelled by developments in AI and ML technologies. These technologies improve an organization’s ability to analyze data, allowing them to find intricate patterns and useful information from a variety of datasets.
Regulatory Compliance: Organizations are investing in IaaS solutions that guarantee compliance with industry norms and regulations as a result of growing regulatory obligations and data privacy concerns. To protect sensitive data, these technologies provide strong security features and data governance structures.
Industry-specific Solutions: IaaS providers are creating solutions specifically suited to the demands of different industries, including manufacturing, healthcare, finance, and retail. These niche products handle certain issues and provide focused insights to promote company expansion.

The dataset building service market is projected to grow significantly in the coming years, driven by the increasing demand for data-driven insights and the growth of artificial intelligence (AI) and machine learning (ML) technologies. The global dataset building service market size was valued at USD XXX million in 2025 and is expected to expand at a compound annual growth rate (CAGR) of XX% from 2025 to 2033. This growth can be attributed to the increasing adoption of AI and ML technologies, which require large and diverse datasets for training and testing. Additionally, the rising demand for data-driven insights for decision-making is driving the growth of the dataset building services market. Key market trends include the growing popularity of cloud-based dataset building services, the increasing adoption of data annotation and labeling services, and the emergence of new data sources such as social media and IoT devices. The major players in the dataset building service market include Appen, Scale AI, Lionbridge, Samasource, CloudFactory, Deepen AI, and Clarifai. These companies offer a wide range of dataset building services, including data collection, annotation, and labeling. The market is expected to witness further consolidation in the coming years, as larger players acquire smaller companies to expand their service offerings and geographic reach.

The Managed Database Service Market Report is Segmented by Service (Data Administration, Database Backup & Recovery, Database Disaster Recovery, Database Security, and Database Optimization), by Application (Customer Relationship Management, Enterprise Resource Planning. Supply Chain Management, Web Applications, and Big Data Analytics), by Industry Vertical (BFSI, Healthcare, IT & Telecom, Retail, Manufacturing and Other Industries) and by Geography (North America, Europe, Asia Pacific, South America, Middle East, and Africa). The Market Size and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.

Database Market Report is Segmented by Deployment (Cloud, On-Premises), Enterprise (SMEs, Large Enterprises), End-User Verticals (BFSI, Retail and E-Commerce, Logistics and Transportation, Media and Entertainment, Healthcare, IT and Telecom, Other End-User Verticals), Geography (North America, Europe, Asia-Pacific, Latin America, Middle East and Africa). The Market Sizes and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.

About this dataset

Context

The dataset tabulates the New Market median household income by race. The dataset can be utilized to understand the racial distribution of New Market income.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• New Market, IA median household income breakdown by race betwen 2011 and 2021
• Median Household Income by Racial Categories in New Market, IA (2021, in 2022 inflation-adjusted dollars)

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of New Market median household income by race. You can refer the same here

Data Analytics Market Valuation – 2024-2031

Data Analytics Market was valued at USD 68.83 Billion in 2024 and is projected to reach USD 482.73 Billion by 2031, growing at a CAGR of 30.41% from 2024 to 2031.

Data Analytics Market Drivers

Data Explosion: The proliferation of digital devices and the internet has led to an exponential increase in data generation. Businesses are increasingly recognizing the value of harnessing this data to gain competitive insights.

Advancements in Technology: Advancements in data storage, processing power, and analytics tools have made it easier and more cost-effective for organizations to analyze large datasets.

Increased Business Demand: Businesses across various industries are seeking data-driven insights to improve decision-making, optimize operations, and enhance customer experiences.

Data Analytics Market Restraints

Data Quality and Integrity: Ensuring the accuracy, completeness, and consistency of data is crucial for effective analytics. Poor data quality can hinder insights and lead to erroneous conclusions.

Data Privacy and Security Concerns: As organizations collect and analyze sensitive data, concerns about data privacy and security are becoming increasingly important. Breaches can have significant financial and reputational consequences.

Discover valuable insights into e-commerce trends and consumer behavior with our comprehensive dataset. Analyze sales data, consumer preferences, marketing impact.

About this dataset

Context

The dataset tabulates the median household income in New Market. It can be utilized to understand the trend in median household income and to analyze the income distribution in New Market by household type, size, and across various income brackets.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• New Market, VA Median Household Income Trends (2010-2021, in 2022 inflation-adjusted dollars)
• Median Household Income Variation by Family Size in New Market, VA: Comparative analysis across 7 household sizes
• Income Distribution by Quintile: Mean Household Income in New Market, VA
• New Market, VA households by income brackets: family, non-family, and total, in 2022 inflation-adjusted dollars

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of New Market median household income. You can refer the same here

The AI Training Dataset in Healthcare market is rapidly evolving, driven by the increasing need for advanced data analytics and machine learning applications in the medical field. This market encompasses various structured and unstructured datasets used to train artificial intelligence algorithms for tasks such as i

Use our Stock Market dataset to access comprehensive financial and corporate data, including company profiles, stock prices, market capitalization, revenue, and key performance metrics. This dataset is tailored for financial analysts, investors, and researchers to analyze market trends and evaluate company performance.

Popular use cases include investment research, competitor benchmarking, and trend forecasting. Leverage this dataset to make informed financial decisions, identify growth opportunities, and gain a deeper understanding of the business landscape. The dataset includes all major data points: company name, company ID, summary, stock ticker, earnings date, closing price, previous close, opening price, and much more.

With population growth in the Adelaide city centre a priority for both the Government of South Australia and the City of Adelaide, a joint research study was commissioned by the two organisations into the market for Adelaide city living. The work, undertaken by Hudson Howells in South Australia, identified key market segments for Adelaide, as well as providing insights into perceptions of Adelaide as a residential proposition, product preferences, competitor environment and relocation decision making. The research comprised four surveys and seven focus groups. Reports outlining the results of each study and the round of focus groups are available here as pdf files. Survey raw data is also provided here in excel and spss formats for use by the development community and others. In particular providing the data in spss format allows for further statistical interrogation and additional insights into the Adelaide city living market.